首页|Study Data from Jerusalem College of Technology Provide New Insights into Machin e Translation (Machine Translation for Historical Research: A Case Study of Aram aic-Ancient Hebrew Translations)
Study Data from Jerusalem College of Technology Provide New Insights into Machin e Translation (Machine Translation for Historical Research: A Case Study of Aram aic-Ancient Hebrew Translations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on machine translati on have been published. According to news reporting out of Jerusalem, Israel, by NewsRx editors, research stated, "In this article, by the ability to translate Aramaic to another spoken languages, we investigated machine translation in a cu ltural heritage domain for two primary purposes: evaluating the quality of ancie nt translations and preserving Aramaic (an endangered language)." The news editors obtained a quote from the research from Jerusalem College of Te chnology: "First, we detailed the construction of a publicly available Biblical parallel Aramaic-Hebrew corpus based on two ancient (early 2 nd to late 4 th century) Hebrew-Aramaic translations: Targum Onkelus and Targum Jonathan. Then using the statistical machine translation approach, which in our use case signif icantly outperforms neural machine translation, we validated the excepted high q uality of the translations. The trained model failed to translate Aramaic texts of other dialects. However, when we trained the same statistical machine transla tion model on another Aramaic-Hebrew corpus of a different dialect (Zohar, 13 th century), a very high translation score was achieved. We examined an additional important cultural heritage source of Aramaic texts, the Babylonian Talmud (ear ly 3 rd to late 5 th century)."
Jerusalem College of TechnologyJerusal emIsraelAsiaEmerging TechnologiesMachine LearningMachine Translation
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